{"id":"W2564423302","doi":"10.2495/sdp-v12-n3-552-558","title":"Smart monitoring of benzene through an urban mobile phone network","year":2016,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile phone; Smart phone; Computer science; Environmental science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001615481,0.0003475608,0.000298917,0.0004843679,0.0001593405,0.0003766531,0.0002990364,0.0003395175,0.001529132],"category_scores_gemma":[0.0002747987,0.00007518416,0.0001098088,0.0005702461,0.0000950291,0.0003681354,0.0003758409,0.0001177629,0.0005303786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002242583,"about_ca_system_score_gemma":0.0001345911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009702368,"about_ca_topic_score_gemma":0.001784698,"domain_scores_codex":[0.9997585,0.0000684058,0.000007647381,0.00007450334,0.00006909845,0.00002176092],"domain_scores_gemma":[0.9998333,0.0000491212,0.00003145557,0.00002027452,0.00004769616,0.00001804007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001923934,0.0006383305,0.1539384,0.0007246192,0.00025947,0.002097811,0.0004882144,0.1088676,0.1610616,0.00346815,0.01583944,0.5506926],"study_design_scores_gemma":[0.00009735801,0.001390099,0.115975,0.00008142778,0.000237346,0.001237871,0.0004553143,0.8012273,0.05065327,0.002127265,0.0264414,0.0000763774],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8304515,0.001128741,0.1410457,0.0005583275,0.0001759172,0.0003369858,0.004022305,0.002615614,0.01966485],"genre_scores_gemma":[0.9792688,0.0003373012,0.01567003,0.00009218628,0.00003167931,0.0001213675,0.0007203297,0.00001312607,0.003745176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001529132,"threshold_uncertainty_score":0.005115449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362477577513265,"score_gpt":0.2735935109841277,"score_spread":0.2499687352089951,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}